Key Responsibilities

• Design, build, and manage cloud-native infrastructure supporting Speckle, Databricks, and associated services.
• Develop and maintain Infrastructure as Code (IaC) using Terraform to ensure consistent, repeatable, and governed deployments.
• Implement and manage Kubernetes (K8s) environments, including cluster provisioning, scaling, monitoring, and resilience.
• Build and optimise CI/CD pipelines to support rapid, reliable deployment of platform services and engineering applications.
• Develop and maintain YAML-based configuration frameworks for infrastructure, pipelines, and platform services.
• Ensure security, compliance, and governance are embedded across all infrastructure and deployment processes.
• Collaborate with digital engineering teams to support design automation workflows, APIs, and platform integrations.
• Enable environment separation and scalability (e.g. multi-region architectures) to support global programme delivery.
• Monitor system performance and reliability, implementing observability solutions (logging, metrics, alerting).
• Work closely with data engineers and platform teams to integrate Speckle & Databricks workflows and data pipelines into the broader ecosystem.
• Contribute to platform documentation, standards, and best practices.

Qualifications & Experience

• Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience).
• 5+ years of experience in DevOps, platform engineering, or cloud infrastructure roles.
• Strong hands-on experience with Terraform (advanced level, modular design, state management).
• Kubernetes (AKS preferred).
• Azure cloud platform (networking, identity, security, storage).
• CI/CD tools (e.g., Azure DevOps, GitHub Actions).
• Proficiency in YAML configuration and pipeline design.
• Containerisation (Docker) and microservices architectures.
• Infrastructure monitoring and observability tools.
• Experience working with Databricks or similar data platforms.
• API-driven platforms and distributed systems.
• Platform engineering concepts (internal developer platforms, self-service infrastructure).
• Git-based workflows and version control best practices.

Desirable Experience

• Experience with Speckle or similar engineering/data platforms.
• Exposure to design engineering workflows, BIM, or digital engineering environments.
• Knowledge of data platform integration patterns (event-driven, streaming, batch pipelines).
• Experience working in large-scale infrastructure or engineering programmes.

Why Join This Programme

• Help build the digital backbone of Augmented Delivery, transforming how engineering is delivered globally.
• Work at the forefront of design automation, data platforms, and cloud-native engineering ecosystems.
• Influence platform strategy and architecture across major infrastructure programmes.
• Collaborate with multidisciplinary teams spanning engineering, data, and digital technology.
• Opportunity to shape a scalable, enterprise-grade platform with real-world impact.